D. Camp

578 citations
9 papers · 500 · h-index 8

Impact in

    • Mass Spectrometry Techniques and Applications
    • Analytical Chemistry and Chromatography
    • Advanced Proteomics Techniques and Applications

Papers in

D. Camp

9 papers receiving 468 citations

Peers

D. Camp
Comparison fields: 5 of 85
  • Spectroscopy 158
  • Behavioral Neuroscience 18
  • Computer Graphics and Computer-Aided Design 20
  • Cellular and Molecular Neuroscience 88
  • Reproductive Medicine 31
Replace Thomas Chuen Lam with:
Thomas Chuen Lam Hong Kong
Jacob J. Michaelson United States
Assunta Pelosi France
Mads Larsen United States
Masaharu Yasuda Japan
John P. Welsh United States
Martin Wild United Kingdom
Roman Häuser Poland
Alana Firl United States
Wayne P. Kelley United States
D. Camp relative to Thomas Chuen Lam Hong Kong Thomas Chuen Lam's profile →
Citations per field
00.5×7.8×
Thomas Chuen Lam · 1×
Citations per year

Countries citing papers authored by D. Camp

Since Specialization
Citations

This map shows the geographic impact of D. Camp's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by D. Camp with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. Camp more than expected).

Fields of papers citing papers by D. Camp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D. Camp. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by D. Camp. The network helps show where D. Camp may publish in the future.

Co-authors

The 25 scholars most cited alongside D. Camp, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with D. Camp Line = papers co-authored together D. Camp links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 1993143
2 2006104
3 199396
4 201549
5 201048
6 200335
7 199715
8 19959
9 20141

About D. Camp

D. Camp is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Spectroscopy, Infectious Diseases and Computer Networks and Communications, having authored 9 papers that have together received 500 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (2 papers), Neurotransmitter Receptor Influence on Behavior (2 papers), Mass Spectrometry Techniques and Applications (2 papers), Hypothalamic control of reproductive hormones (1 paper), Advanced Proteomics Techniques and Applications (1 paper), Ovarian function and disorders (1 paper), DNA and Nucleic Acid Chemistry (1 paper) and Neural dynamics and brain function (1 paper). The work is most often cited by research in Spectroscopy (158 citations), Behavioral Neuroscience (18 citations), Computer Graphics and Computer-Aided Design (20 citations), Cellular and Molecular Neuroscience (88 citations) and Reproductive Medicine (31 citations). D. Camp has collaborated with scholars based in United States. Frequent co-authors include Thompson Robinson, Robert L. Meisel, Richard Smith, Charles G. Edmonds, Karen J. Light‐Wahl, Brian E. Winger, Brian D. Thrall, D.L. Springer, Hank Childs and Christoph Garth. Their work appears in journals such as Journal of Virology, Neurobiology of Disease, Neuropsychopharmacology, Journal of Surgical Research and Journal of the American Chemical Society.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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